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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • J

      Johns Hopkins University

      Principles of fMRI 1

      Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Data Analysis, Research Design, Image Analysis, Neurology, Science and Research, Statistical Analysis, Statistical Modeling, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      837 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Medical Terminology

      Skills you'll gain: Medical Terminology, Medical History Documentation, Pulmonology, Cardiology, Medical Records, Health Informatics, Health Information Management and Medical Records, Orthopedics, Obstetrics And Gynecology, Neurology, Gynecology, Urology, Anatomy, Electronic Medical Record, Pathology, Pharmacology, Psychiatry, Mental Health Diseases and Disorders

      4.9
      Rating, 4.9 out of 5 stars
      ·
      832 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Become an EMT

      Skills you'll gain: Vital Signs, Patient Evaluation, Pharmacology, Trauma Care, Emergency and Intensive Care, Cardiology, Medical Emergency, Cardiopulmonary Resuscitation (CPR), Medication Administration, Automated External Defibrillator, Emergency Medical Services, Life Support, Medical History Documentation, First Aid, Child Health, Respiratory Care, Neurology, Emergency Medicine, Neonatal Intensive Care Unit, Patient Education And Counseling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Introduction to Electronics

      Skills you'll gain: Electronic Components, Semiconductors, Electronics, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Università Bocconi

      International Leadership and Organizational Behavior

      Skills you'll gain: Conflict Management, Team Motivation, Intercultural Competence, Professional Networking, Organizational Leadership, Cultural Diversity, Cross-Functional Team Leadership, Communication, Leadership, Relationship Building, Ethical Standards And Conduct, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    • E

      Emory University

      The Addicted Brain

      Skills you'll gain: Pharmacology, Mental and Behavioral Health, Human Learning, Neurology, Behavioral Health, Socioeconomics, Vulnerability, Health Policy, Laboratory Research, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Power Electronics

      Skills you'll gain: Power Electronics, Control Systems, Semiconductors, Electronic Systems, Electrical Engineering, USB, Electrical Systems, Electronic Components, Electronics, Electrical Power, Electric Power Systems, Simulation and Simulation Software, Systems Analysis, Basic Electrical Systems, Mathematical Modeling, Systems Design, Graphical Tools, Engineering Analysis, Technical Design, Engineering Design Process

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Sungkyunkwan University

      A Bridge to the World: Korean Language for Beginners Ⅰ

      Skills you'll gain: Language Learning, Oral Comprehension, Language Competency, Oral Expression, Vocabulary, Grammar

      4.8
      Rating, 4.8 out of 5 stars
      ·
      580 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Davis

      Web Development for Beginners

      Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Web Applications, Design Elements And Principles, Animations, Web Content, Mobile Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 1

      Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Jupyter, Program Development, Integrated Development Environments, Computer Programming Tools, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 3 Months

    Statistics For Data Science learners also search

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    1…757677…834

    In summary, here are 10 of our most popular statistics for data science courses

    • Principles of fMRI 1: Johns Hopkins University
    • Medical Terminology: Rice University
    • Become an EMT: University of Colorado System
    • Introduction to Electronics: Georgia Institute of Technology
    • International Leadership and Organizational Behavior: Università Bocconi
    • The Addicted Brain: Emory University
    • Software Design and Architecture: University of Alberta
    • Create Your First Python Program From UST: Coursera Project Network
    • Power Electronics: University of Colorado Boulder
    • A Bridge to the World: Korean Language for Beginners Ⅰ: Sungkyunkwan University

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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